{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Polar amplification in simple models" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import climlab\n", "from climlab import constants as const" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## EBM with surface and atm layers" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (90, 1) \n", " Tatm: (90, 1) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", "\n" ] } ], "source": [ "ebm = climlab.GreyRadiationModel(num_lev=1, num_lat=90)\n", "insolation = climlab.radiation.AnnualMeanInsolation(domains=ebm.Ts.domain)\n", "ebm.add_subprocess('insolation', insolation)\n", "ebm.subprocess.SW.flux_from_space = ebm.subprocess.insolation.insolation\n", "print(ebm)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# add a fixed relative humidity process\n", "# (will only affect surface evaporation)\n", "h2o = climlab.radiation.ManabeWaterVapor(state=ebm.state, **ebm.param)\n", "ebm.add_subprocess('H2O', h2o)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Add surface heat fluxes\n", "shf = climlab.surface.SensibleHeatFlux(state=ebm.state, Cd=3E-4)\n", "lhf = climlab.surface.LatentHeatFlux(state=ebm.state, Cd=3E-4)\n", "# couple water vapor to latent heat flux process\n", "lhf.q = h2o.q\n", "ebm.add_subprocess('SHF', shf)\n", "ebm.add_subprocess('LHF', lhf)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 365 steps, 365.2422 days, or 1 years.\n", "Total elapsed time is 0.9993368783782377 years.\n" ] } ], "source": [ "ebm.integrate_years(1)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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e51R//my1A+Q3pfFv79mMMeOMMTHGmJjQUG05lpQzObmMnLIWX28v3r6jBd5eOgNVXZ7/69WYWhXL8vjX63QFSQcpVHEXEV+swj7RGDMjz3Ef4Gbg6zxPTwbyrjQVDuy9/KiqKLy7IIH1ycd44+amuk2eKhLl/H14t19LDpzI5HldYMwxCjNaRoDxQLwxZvQ5p7sBW4wxyXmOzQL6iYi/iEQB0cDKogqsLt2KHYf4cEkit8eEc33T6nbHUR6keUR5RnaL5vv1e/l2XYrdcRSFa7l3BAYAXfMMfezpOtePv3bJYIyJA6YCm4G5wAhjTE4RZlaX4ETGGR6fup5aFcvy4k2N7Y6jPNDwq+pyRWQF/vltHEmHT9kdp9QTJ7yFiomJMbGxsXbH8Gj/mL6BqbFJTB/egZY1dUclVTySDp/i+nd/pUlYMJPua4eX3tMpViKy2hgTk985nbVSCizZeoApq5K4v0sdLeyqWEVULMvzNzRk+Y7DTFyx2+44pZoWdw937PQZ/jF9I/WqBjKymw57VMXvjisi6BxdmdfnbNHuGRtpcfdw//phM2npmbx1W3P8fXSisCp+IsIbtzTDS4Snpq3X1SNtosXdgy3aksq01ckM71KHZuHl7Y6jSpGw8mX+6J75SrtnbKHF3UOlZ2bz/MxNRFcJ5OFr6todR5VCd1wRwZX1QnljzhZSjp62O06po8XdQ701byv7jmfwxi3NtDtG2UJEeLVPE4yBf+rkphKnxd0Drd1zhM+X7WJAu1q0rqWjY5R9IiqW5fFr67FwywHmbNpvd5xSRYu7hzmTk8uoGRupGhTAU93r2x1HKe7tGEnjGsG8OCtO154pQVrcPcy4X3awZf8JXu7dmKAAX7vjKIWPtxdv3NyMQ+mZ/HvuFrvjlBpa3D1I0uFTvLcwgR6Nq3Fd42p2x1HqD03DQxjcMYpJK/awevdhu+OUClrcPcj/fb8Zby/hxV6N7I6i1N88dm09qocE8MK3cbpzUwnQ4u4hFsansiA+lUeuidalfJUjlfP34fkbGrF533FdmqAEaHH3ABlncnjp+zjqVglkcMcou+ModV49m1ajU93KvDlvKwfTM+2O49G0uHuAj37eTtLh07zcqzF+PvpPqpxLRHipV2MyzuTw7zl6c7U4aSVwc3sOnWLMku3c1LwGHepWtjuOUgWqWyWQwZ2i+GZ1st5cLUZa3N3caz/G4+MlPNezod1RlCq0R7pGUy04gBdnxenCYsXEx+4A6tIt3X6QuXH7efK6elQLCbA7jnvLOQPpqZBxDDJPWB85Wa6TAuIF/kEQEAz+wRBYBXz1xvWlKufvw6ieDXh0yjqmrUnm9piIgi9SF6XA4i4iEcAXQDUgFxhnjHnXde5h4CEgG5htjHnadXwUMATIAR4xxswrnvilV06u4eXvNxNWvgz3da5tdxz3YAwc2QmpcXBgC6RtgcM74HgKpB8ALrIFWbYSBIdBhVoQ2hCqNIQqjaByNHjpej4F6dW8Bp8t3cWb87bSs2l1Av21rVmUCvNqZgNPGGPWiEgQsFpE5gNVgd5AM2NMpohUARCRRlh7qzYGagALRKSe7qNatKas2sOW/Sf48M5WBPhqIclXbg7sXQs7lkDyKuvj1KE/z4fUhMp1oWpjq0gHVYMyFawWun8w+PhZvxDOfq2sE5Bx3Grdp++HYynWL4YDW2DLbDC51nP9AiE8BiLaQq0OULM9+PiX+LfvdCLCCzc24uYxSxm7JJGnujewO5JHKbC4G2P2Aftcj0+ISDwQBgwF3jDGZLrOHXBd0huY4jq+U0QSgTbAsmLIXyodO32G//60jTaRFenZVGei/kXGMdg6B7bNgx2L4fQR63jlelDveqvoVm8GleuDf2DR/b1nMuBQAuzfBCmxkLQCfnnTKvi+5SDqSojuBg1utH6JKABa1axAnxY1+OTXnfS7oiYRFcvaHcljXNT7IBGJBFoCK4A3gc4i8iqQATxpjFmFVfiX57ks2XXs3K81DBgGULNmzUvJXmp9sCiBI6ey+OdNjRDRDYjJOgnxP0DcTNi+0OorD6wK9XtCna5Q+2ooV6l4M/gGQLWm1keL/taxzBOweykkzIfE+bBtDsx+EiI7QeO+0KhP8edyA89c34C5cft5Y+4WPryzld1xPEahi7uIBALTgZHGmOMi4gNUANoBVwBTRaQ2kF+1+VtnpjFmHDAOICYmRm+XF1LS4VN8vnQ3t7YKp0lYiN1x7GMM7FsHqz+HjdOsLpPgMGgzzCqcYa3B7l98/kFQr7v1YQwc3Gb9Ato0HWY/DnP/AQ1vgtb3QGRn+/PapHpIGR7oUod3FiQwuONhWteqaHckj1Co4i4ivliFfaIxZobrcDIww1gr8K8UkVygsut43lvf4cDeootcuv1n3la8vOCJ60rpcr45Z2Dzd7DsA6s/3acMNO4DLQdYfdteDh3dKwKh9eGqf0CXZyB1E6ydCOsnW8W+Yh1oNxxa3AV+pa9rYtiVtZm4Yg+v/biFaQ+013ekRaDA/wlivcrjgXhjzOg8p74FurqeUw/wAw4Cs4B+IuIvIlFANLCyiHOXSuuTjvL9+r3c16l26Rv6mHUSln0I77WE6UOsLo+eb8ETW6DvRxDZ0bmF/VwiVvfN9W+48o+zbuT++CS83RgWvwYnDxX8dTxIWT8fHr+2Hqt3H+Gnzal2x/EIUtDWVyLSCfgV2Ig1FBLgWWABMAFoAWRh9bkvcl3zHDAYa6TNSGPMnAv9HTExMSY2NvbSv4tSwBhDv3HLSTyQzpKnrio9a7VnnYLYCfD7O3AyDWp1hPYPQb0e7lPMC8MY2LMclr4PW38Ev3LQ9n7rey1bOropsnNy6fHur+TmGuY9diW+3h7071tMRGS1MSYm33NO2NdQi3vBFmxO5b4vYnm5d2MGto+0O07xy8mG1f+zRpykp0JUF7j6WajZzu5kxS9tKyx5A+JmWEMy24+ADg9bBd/Dzd+cytAvYnmlTxPublfL7jiOd6Hirr8a3UB2Ti5vzN1C7crl6N/Gw0cWGQPbfoKxHaxuikp14d45MGhW6SjsYPXN3/Y/GL4UaneBJa/D+61h3STIzS34ejfWrWEV2kRW5J0F20jPzLY7jlvT4u4GZqxJIfFAOk91r+/Zb1UPbYevboFJt0FuNvSbBPfMtiYClUZVG8MdX8HgnyC4Bnw7HD65GpI9912uiDCqZwMOpmfx6a877I7j1jy4UniGjDM5vLNgG83DQ+jRxEMnv2RnwpJ/w5j21izS7q/Dg8uhwQ2ldnjgX9RsC0MWwM2fWMskfNoNZj9hTdjyQC1rVqBH42p8+utODp/MKvgClS8t7g43ccUe9h7L4OkeDTxzeNjuZTC2Iyx5zSrmD62C9g9aU//Vn7y8oNnt8NBKaPuAdZP5gzbWsFAP9GT3epzKymbskkS7o7gtLe4Olp6ZzYeLE+lYtxIdPW2t9jOnYd5z8L/rIScT7p5u9TPr1PwL8w+yhlAOXQRBVWHqQJg2BE551rrodasEcXOrcD5ftpt9x07bHcctaXF3sE9/3cHhk1k87WkLKqWsho+vtCYixdwLw5dB3W52p3IvNVrCfYvg6udh87dWl9a2n+xOVaQevSYaYwzvLdTW+6XQ4u5Qh09m8emvO+nRuBrNI8rbHado5ObC7+/C+OusSUkDZsKNbxftAl6libcPdHnKasWXrWjdiP7xaesehgeIqFiWu9rWYmpsEjsPnrQ7jtvR4u5QY5ckciormye717M7StFIPwATb4X5/7QW9Bq+1FrUS12+6s1h2BJo9yCs/Ni64Xpou92pisSIq+vi5+3F6Pnb7I7idrS4O9CB4xl8sWw3fVqGUbdKkN1xLt+u3+GjTrD7d6ulfvsXUKa83ak8i48/9Hgd+k+BY0lWt9fGaXanumyhQf7c2zGSHzbsZcv+43bHcSta3B1ozJLtZOcaHr0m2u4ol8cYWP4RfNHLuhE4dBHEDNbhjcWp/vXwwG9QtYm1Bs+856zZvm5s2JW1CfTz4Z35CXZHcSta3B1m79HTTFqxh9tah1OrkhtPN886BTPvh7nPQHR3q7BXbWx3qtIhJBwGfW8tf7zsA/iqL5w8aHeqS1a+rB+DO0UxN24/m1I8c2x/cdDi7jAfLE7EYHioa127o1y64/usIY4bplqjOe74CgJK8drzdvDxg55vQp+xsGcFjLvK2jvWTQ3uFEVwgA/vLNDWe2FpcXeQpMOnmLoqiX5X1CS8gpuu6b1vPXzSFQ4lWv2/XZ7yrNUb3U2LO2HwXGs5h/HdIWGB3YkuSUgZX4Z2rs2C+FTWJx21O45b0P91DvLewgS8vcR9W+1bfoQJ14N4weB5UL+H3YkUQFgruG8hVIi0hkuu+tTuRJfk3k5RlC/ry9sLdORMYWhxd4hdB08yY20Kd7WtRdVgN9yIY9V4mHKntaLh0IVQrYndiVReIWFWCz76Omtdmp9esG54u5FAfx/uv7IOS7amsXr3EbvjOJ4Wd4d4f1Eivt7CA1fVtjvKxTEGFr9u7Qlar7u1iqMuIeBM/oHWSptX3AdL34NvH7S2LXQjgzrUolI5P95dqH3vBSnMNnsRIrJYROJFJE5EHnUdf0lEUkRkneujZ55rRolIoohsFZHuxfkNeIJdB0/y7boU7m5biypBbtRqz82BHx6Dn9+AFnfDHRNL5f6fbsXL29qe8KpnYf0kmHKXNbLJTZT182HolbX5ZVsaa/Zo6/1CCtNyzwaeMMY0BNoBI0Skkevc28aYFq6PHwFc5/oBjYEewBgR8S6G7B7jbKt9WBc3arXnnLHGUa/+H3R6HHp/YE2HV84nAlc9AzeMhoSf4Mu+brV88IB2tahYzo93deTMBRVY3I0x+4wxa1yPTwDxQNgFLukNTDHGZBpjdgKJQJuiCOuJ3LLVnp0JUwdB3Ey47hXo9qJOTHJHVwyB2z6DlFj4orfbrCxZzt+HoZ1r8/O2NNZq6/28LqrPXUQigZbACtehh0Rkg4hMEJEKrmNhQFKey5LJ55eBiAwTkVgRiU1LS7v45B7ivUUJ+HoL93epY3eUwsk6BZP7w9bZ1tv7Dg/bnUhdjsZ9rHkIqXHweS+3mew0sH0tKpT11b73Cyh0cReRQGA6MNIYcxwYC9QBWgD7gP+efWo+l//ttrwxZpwxJsYYExMaGnqxuT3CzoMn+XZtCgPa1SI0yN/uOAXLOgWTbofti6DXB9BmqN2JVFGof701J+FQAnx2A5xItTtRgcr5W33vS7amsU7HveerUMVdRHyxCvtEY8wMAGNMqjEmxxiTC3zCn10vyUBEnsvDgb1FF9lzvL8oAT8fL4Zd6Qat9jOnYUp/a/Gvvh9DqwF2J1JFqe41cNc0OLrH6qJxgxb8wPaRVutdx73nqzCjZQQYD8QbY0bnOV49z9P6Aptcj2cB/UTEX0SigGhgZdFF9gy7Dp7ku3V7ubutG7Taz2TA13fDjp+h94fQ/A67E6niENUZ7vwajuyEL/o4vg8+0N+H+zrXZvHWNJ21mo/CtNw7AgOArucMe/yPiGwUkQ3A1cBjAMaYOGAqsBmYC4wwxuQUT3z39f6iRHy83GCETHYWfDMIEhdAr/es6ezKc0VdaY2FP7jVGkVz+qjdiS5oYPtahJTx5T3te/+bAseuGWN+I/9+9B8vcM2rwKuXkcuj7T5kjZC5p0Oks0fI5ObAzGGwba41bK7VQLsTqZJQ9xrrJuuUu2DibTDwW/Bz5gqlQQG+3Ncpiv/O38amlGM0CdMF6s7SGao2+MDVar/fya12Y6xp6nEz4dp/WcPmVOlRrzvcOt4aJjl1oPUOzqEGdYwkOMBHR86cQ4t7Cdt9yFpD5s62NZ3dal/0L9cEpceg4yN2p1F2aNQbbnzH6pL79gFrD1wHCg7wZXCnKOZvTiVur/tMxipuWtxL2IeLrVb7cCePa1/2Ifz6X2h9D1zzot1plJ1aD4JuL8Gm6TDnaccuNnZvhyiC/H14f2Gi3VEcQ4t7Cdp96CTT16TQv01Nqjh15cdN02Hes1ar7YbROvNUQceR1mS1VZ/Ab6MLfLodQsr6cm/HSObG7Sd+n+61ClrcS9R7C601ZB682qGt9l2/w8wHoGYH6DvOWmRKKRHo9jI0vQ0WvmztsOVAQzrVJsjfR9eccdHiXkJ2pKUzc20yA9o5dA2ZtK3WJKUKkdBvIvg6MKOyj5eXNcchsrO1VPDOX+xO9DchZX2517XXqva9a3EvMe8tTMDfx9uZa8ikH4CvbgWfAGuWYtmKdidSTuTjD3d8CZXqwJS74UC83Yn+ZkinKIICtPUOWtxLROKBE3y3fi+DOkRSOdBhs1HPZFg7KJ06aM1OrFDL7kTKycpUgLu+sd7ZTbrdccsUhJTxZUinKH7anMqmlNLdetfiXgLeWZBAWV9vhl3psHHtxsCshyB5lbVeTI2WdidS7qB8Teg/2XrH9/Xd1hLQDjK4UxTBAT68U8pb71rci9nmvceZvXEf93aMomI5P7vj/NWvb8HGb6DrC9Col91plDsJa231we9ZBj887qghksEBvgztXJsF8alsTC69rXct7sXs9TnxhJSxftgcZfN3sOgVaHYHdH7C7jTKHTW9Fa58GtZ9BUvftzvNX9zTMZLyZX1586etdkexjRb3YvTztjR+TTjIw12jCSnra3ecP6VuhpnDISwGbnpPx7KrS3fVKGtOxPx/WjNZHSIowJeHrq7LL9vS+C3BWfcFSooW92KSk2t4bXY8NSuWZUA7B92kPH3EuoHqH2gtDqVDHtXl8PKCPmOhSiOYNgQO77Q70R8GtK9FeIUyvPZjPLm5zuk2Kila3IvJ9NXJbE09wTM9GuDn45CXOTcHpt8Hx5Lh9i8huHrB1yhVEL9y0O8rwFg3WLNO2p0IAH8fb57qXp/N+47z7boUu+OUOIdUHc9yKiub/87fSsua5enZtJrdcf606BXrrXPP/0DNtnanUZ6kYm24ZYK1F+usRxxzg/WmZjVoGhbCW/O2knGmdG0rocW9GHz08w5Sj2fyXM+GiFP6s7f8aK0L0mogxAy2O43yRNHd4JoXYNM0WD7W7jQAeHkJo3o2YO+xDP73+y6745SowmyzFyEii0UkXkTiROTRc84/KSJGRCrnOTZKRBJFZKuIdC+O4E61Zf9xxi5JpFfzGsREOmSm5+Gd1pKt1VvA9W/anUZ5sk6PQ/0bYP4LkOSM3TU71KlM1wZVGLM4kdTjGXbHKTGFablnA08YYxoC7YARItIIrMIPXAvsOftk17l+QGOgBzBGRErFClRncnJ58pv1hJTx5aVeje2OYzmTYW2TB3D753oDVRUvEegzBoLD4Jt74OQhuxMB8PwNDcnKyeW5mZswDukyKm4FFndjzD5jzBrX4xNAPBDmOv028DSQ99XqDUwxxmQaY3YCiUCbIk3tUON+2cGmlOP8q3cT50xYmvsP2LfemoFaIdLuNKo0KFPeakicTIMZQx2xyUft0ECeuK4eC+JT+X7DPrvjlIiL6nMXkUigJbBCRHoBKcaY9ec8LQxIyvN5Mn/+Msj7tYaJSKyIxKalpV1cagfalnqCdxckcEOz6lzf1CGjUDZMtXZT6jgS6l9vdxpVmtRoCT3egO0LrY1fHGBIp9o0jyjPS7PiOJTurCUTikOhi7uIBALTgZFYXTXPAf/M76n5HPvb+yBjzDhjTIwxJiY0NLSwMRzpTE4uT32znsAAH152SnfMoe3ww2NQs721vIBSJS1msLUG/JLXrL0CbObtJbx5azPSM7L556w4u+MUu0IVdxHxxSrsE40xM4A6QBSwXkR2AeHAGhGphtVSj8hzeTiwtyhDO82/52xhffIxXu3ThEpOWPUxOxOm3QtePnDLp+DtY3ciVRqJwI1vW92BM4bCqcN2J6Je1SAeuaYuszfsY7aHd88UZrSMAOOBeGPMaABjzEZjTBVjTKQxJhKroLcyxuwHZgH9RMRfRKKAaMAZt82LwdxN+/n0t50Mal/LOd0xC16y+tn7jIGQcLvTqNLMPwhunWCtIPndQ44Y/35/lzo0jyjPP6ZvYPchZ0y4Kg6Fabl3BAYAXUVkneuj5/mebIyJA6YCm4G5wAhjjEfOHth96CRPfbOe5uEhPHtDQ7vjWLbOgeVjoM390OAGu9MoZfW/d3sJts6GVZ/anQZfby8+6N8SERgxaY3HTm4SJwwLiomJMbGxsXbHuCgZZ3K4ZexSko+cZvYjnQivUNbuSHBiP4ztAME1YMgCHfaonCM3FybfATt+hqGLoFoTuxMxf3MqQ7+I5e52NXmlT1O741wSEVltjInJ75zOUL0ExhhGzdhI3N7jjL69uTMKe26utbdl1ilrGrgWduUkZxcYCwiBGcOs+Rc2u7ZRVYZdWZuvlu9h1nrPuy2oxf0SvD1/GzPXpvDkdfW4pmFVu+NYVo6zhp1d9y8IrWd3GqX+rlxl6z7QgThY9C+70wDwVPf6tK5VgWembfC4jT20uF+kb2KTeG9RInfERDDi6rp2x7GkbrbW047uDlfcZ3capc4v+lq4Yigs+wB2LLE7Db7eXoy9uxUVy/kx5PNV7D162u5IRUaL+0X4PfEgo2ZspFPdyrzSt4kzFgXLzrSGmfkHQe8PdOMN5XzXvgyV61kbxjhgeGSVoAAm3HMFp7NyGPzZKk5knLE7UpHQ4l5Iq3cfZtgXsdQJDWTM3a3w9XbIS7f4NUjdZO1nGVjF7jRKFcyvLNz8CZw8ALOdscVj/WpBjLm7FQkH0hkxaS3ZOfYvmXC5HFKhnG3NniMMmrCKKsEBfDGkDcEBDtkyb88KWPqetYxv/R52p1Gq8Gq0sLboi5sBm6bbnQaAztGhvNqnCb9sS+OxqevdvsBrcS/AuqSjDBq/kkqBfkwe2o6qwQ4ZhZJ10lrGNzgcrnvV7jRKXbyOIyGstdV6P5FqdxoA+rWpyT+ub8D36/fy1LQN5Ljx9nxa3C8gdtdhBoxfQYVyVmGvFuKQwg7WLNTDO6zRBwHBdqdR6uJ5+0Cfj+DMafhhpCNmrwI80KUOT3Wvz8y1KTwzfYPb7r+qxf08Zm/Yx52frqByoD+Th7WjRvkydkf6044l1tDHtsMhqrPdaZS6dKH14Jp/wtYfYf1ku9P8YcTVdRnZLZppq5N5atoGzrhhF42uKHUOYwyf/LqD137cQkytCnwyMIYKTlmbHSDzhLVGR6W60O1Fu9ModfnaDocts2HOMxDVBUL+tkK4LR69JhpBeHvBNtLSMxlzVysC/d2nZGrLPY+MMzk8O3MTr/24hRuaVuer+9o6q7ADzH8RjiVD7zHg66B3E0pdKi8va7RXbrajumdEhEe7RfPvW5rye+JB7vh4GQfcaJs+Le4u29PS6fPh70xeuYfhV9Xh/f4tCfB12O6AO3+B2PHQ7kGo2dbuNEoVnYpRVvdMwk+w4Wu70/zFHVfU5NNBMew8eJK+Y5ayIfmo3ZEKpdQXd2MM365N4ab3fyP1eAYT7onhmR4N8PJy2GSgzHSrO6Zibej6vN1plCp6bYZBRFure8Yho2fOurp+Fb4e1h5jDLeMXcpnv+90/F6spbq4Jx0+xX2fxzLy63U0rhHMj492pmsDh6wVc66FL8PRPdbbVz8HLFSmVFHz8rZ+vs+chtmPO6Z75qym4SHMfqQzV0aH8tL3mxn+1RqOnXbubNZSWdyzsnMZu2Q71779M8t2HOL5GxoyeWg7qoc4tA97zwprdEybYVCrg91plCo+laPh6mdhyw+w+Vu70/xNhXJ+fDoohud6NmRBfCrdRv/M9+v3OrIVX6rWc8/MzmHa6mTGLN5OytHTdG9clRdvauysYY7nys6EjzpbrZkHl4F/oN2JlCpeOdkwvps1cGDESihb0e5E+dqYfIxnZ25kY8oxutQL5V+9m1CzUsm+q76s9dxFJEJEFotIvIjEicijruP/EpENrp2ZfhKRGnmuGSUiiSKyVUS6F923cmmOnMxiwm87uerNJTw3cxOhQf58PrgNHw+IcXZhB2vn+INbrb0otbCr0sDbB3q9by0qNt+5m7s3DQ/h2xEdefGmRsTuOky30T/z/LcbSXHIypIFttxFpDpQ3RizRkSCgNVAHyDZGHPc9ZxHgEbGmAdEpBEwGWgD1AAWAPUutNVecbTcT2Zm82vCQWasSWbx1gOcyTHE1KrAo92i6VS3sjNWdCxI6mb4+EpocjPcPM7uNEqVrAUvwW9vw8DvoPZVdqe5oP3HMnhvUQLfxCYBcFtMBPd0iKRe1aBi/Xsv1HK/6G4ZEfkO+MAYMz/PsVFATWPMcNdjjDGvu87NA14yxiw739e8nOJujOFgehYpR0+TfOQUG5OPsXznYTalHCMn11A50J++LWvQt2U4jWq40TT93BwYfx0c2QkjVkG5SnYnUqpknTltbRtpDAxf6hYDCVKOnmbskkSmrkomKyeXpmEh3NwqjBub1SA0yL/I/74iK+4iEgn8AjQxxhwXkVeBgcAx4GpjTJqIfAAsN8Z85bpmPDDHGDPtfF/3Uov72j1H6DduOZnZf04N9vUWWkSUp01URdrXrky72hXxccryvBdj+Ucw9xm4+VNodpvdaZSyx85f4POboMMj1i5jbuJQeibfrdvL9DXJxO09DkDdKoG0japIm6iKRFUuR3iFslQo63tZvQhFUtxFJBD4GXjVGDPjnHOjgABjzIsi8iGw7Jzi/qMxZvo51wwDhgHUrFmz9e7duy/y24IDJzL45JcdhJUvQ3iFsoRVKENU5XLOm3x0sY4lw4dtoWY7uGuabsChSrfvHoJ1k2DYEqjezO40F23L/uMs3pLGip2HWLXzMCez/uyhLuPrzc2twni176Vt0H3ZxV1EfIEfgHnGmNH5nK8FzDbGNCnpbhmPYwxMuRO2L4YRy6FCpN2JlLLXqcPwwRVQoRYMmW+Nh3dT2Tm5bEtNJ+nIKVKOnCbl6GnqVgmkf5ual/T1LlTcC1wFR6z3DOOB+LyFXUSijTEJrk97AVtcj2cBk0RkNNYN1Whg5SUlL43iv7dWyLv2ZS3sSoE1FLLH69Z2krEToM1QuxNdMh9vLxrVCC6R+3+FWeKsIzAA2Cgi61zHngWGiEh9IBfYDTwAYIyJE5GpwGYgGxhxoZEyKo+MYzDnaaja1Fo/RillaXqb1TWz4P+gwY0QXN3uRI5XqiYxOd7sJ2DVeBi60NqhRin1p8M7YEx7iL4O7vjS7jSOcFmTmFQJSY61CnubYVrYlcpPxdrQ5WmInwVb59qdxvG0uDtBTjZ8PxKCqumKj0pdSPuHIbQh/PiUtY+wOi8t7k6wYiykboTr/637oSp1IT5+cONoOLYHfv633WkcTYu73Y4mweLXILo7NOxldxqlnK9WB2h5Nyz7EFLj7E7jWFrc7TbnaWtse883dbKSUoXV7WXwD4YfHoNc99u8uiRocbdT/A/WmParR1kTNJRShVOuElz3CiStgLVf2J3GkbS42yXzhNVqr9JYx7QrdSla3Am1Olqbxqen2Z3GcbS422Xx63B8L9z0Dnj72p1GKfcjAjeMtkbNOHjdd7tocbfDvvXWCJnW90BEG7vTKOW+qjSAjo/A+snWCpLqD1rcS1puDnz/KJStDN1etDuNUu6v85NQvhb88Li1LaUCtLiXvFXjYe9aayGkMhXsTqOU+/Mra3XPHEqA39+1O41jaHEvSceSYeHLUPtqaHKL3WmU8hzR3aBRH/jlLTi03e40jqDFvaQYYy0MlpttbXatY9qVKlo93gCfAKvb0wELItpNi3tJiZsJ2+ZC1+egYpTdaZTyPMHV4dqXYNevsG6i3Wlsp8W9JJw6bI1pr94C2g63O41SnqvVPVCzA8x7DtIP2J3GVlrcS8L8F6wC3+t98C7M/ihKqUvi5QU3vQtnTsHcUXansZUW9+KWuADWfmWNxXXDzX2Vcjuh9azhkZumwbaf7E5jmwKLu4hEiMhiEYkXkTgRedR1/E0R2SIiG0RkpoiUz3PNKBFJFJGtItK9GPM726nD8O0ICG0AXZ6xO41SpUenx6x1379/xPp/WAoVpuWeDTxhjGkItANGiEgjYD7QxBjTDNgGjAJwnesHNAZ6AGNExH23K79Uxrh+sA7BzZ+Abxm7EylVevj4wc0fw8mDMPvxUjl6psDibozZZ4xZ43p8AogHwowxPxljsl1PWw6Eux73BqYYYzKNMTuBRKD0zbFfNwniv7d2VtLuGKVKXvXm1oqrcTNh4zd2pylxF9XnLiKRQEtgxTmnBgNzXI/DgKQ855Jdx879WsNEJFZEYtPSPGxFtyO7YM4z1op1HR62O41SpVfHkRDRFmY/aW2MU4oUuriLSCAwHRhpjDme5/hzWF03ZweW5jc752/viYwx44wxMcaYmNDQ0ItL7WRZJ2HqQGuSUt+PwKv09Ugp5Rhe3tD3YzA58O1wa22nUqJQxV1EfLEK+0RjzIw8xwcBNwJ3GfNHp1YyEJHn8nBgb9HEdbjcXJgxDPZvhFs+hfI17U6klKoYBdf/x5rc9FPpWRq4MKNlBBgPxBtjRuc53gN4BuhljDmV55JZQD8R8ReRKCAaWFm0sR1q0cuw5Qe47lWoV3oHCSnlOC3vgrYPwPIPYfVndqcpEYWZUdMRGABsFJF1rmPPAu8B/sB8q/6z3BjzgDEmTkSmApuxumtGGGM8/73Quknw29vQ+l5op7NQlXKc616FQ4nWGk8V60BUZ7sTFSsxDhgiFBMTY2JjY+2Ocem2zoWv77Z2Zb97uu6spJRTZRyDT6+FkwfgvoVQqY7diS6LiKw2xsTkd05nqF6uxIUwdQBUbQy3f6GFXSknCwiBO78G8YIvesPRPXYnKjZa3C/Hzl9hyp1QuR4MmAllytudSClVkIpRMOBbyDwOn99k7WXsgbS4X6pdv8OkO6BCJAz8DspWtDuRUqqwqjeDu2fCyUPweS+PXEFSi/uliP8evuwLIWFWYS9X2e5ESqmLFd4a7voGjqd4ZAtei/vFWjXemqRUvRkMngdB1exOpJS6VLXaw51T4VgKjL8ODibYnajIaHEvrNxcWPSqtQhR3Wu1K0YpTxHVGe75AbIzYEJ3SFltd6IiocW9MDKOwdd3wS//gRZ3Q7+J4FfO7lRKqaJSo4X1Ttw/CD67CbbMtjvRZdPiXpAD8TDuakj4yZrC3PsDHe6olCeqVAcG/wSh9a1RcItetd6xuykt7udjDKz5Aj65BjJPwKDvoe391oJgSinPFFQV7p0DLe+23qlPvgNOH7E71SXR4p6fE/utYY6zHoawVnD/L9bsU6WU5/MNgF4fwA2jYfti+KizNafFzWhxz8sYWD8FxrSDnT9Dj3/DwFkQXN3uZEqpkiQCVwyBwXPB2w8+vxHmPgtnMuxOVmha3M9KWWMNhZp5v7Wo0AO/QbsHrN3UlVKlU3gMPPArXDHUWlHy4yth5y92pyoUrVxHdlmbWH/S1Xrc+0MYMh8qR9udTCnlBH7l4Ia34O4ZkH3amvA0daDj16UpzJK/niltK/w62tpb0cvb2g7vyqcgINjuZEopJ6p7DYxYCUvft2rHtnnWIIv2D0Og83aTK11L/mZnwtY5sPYrSFwAvmWs9dc7PKz96kqpwjuaBAtfhk3TwNsfWg+CDo9YS5KUoAst+ev5xf3MaWuRr4R5sHEanD4MwWHWUKc2w3RdGKXUpTuYCL+NtgZiAERfB60GWH+WwHyYyyruIhIBfAFUA3KBccaYd0XkNuAloCHQxhgTm+eaUcAQIAd4xBgz70J/R5EVd2OsxX/2b4T9GyBpJez6zeon8yljbX3XagDUvlo3rlZKFZ0juyF2AqyfDOmpUK4KNLjBKvJRV4J/YLH8tZdb3KsD1Y0xa0QkCFgN9AEMVrH/GHjybHEXkUbAZKANUANYANS70FZ7l1zcDybAolesFzM91Vq2Myv9z/OV60GdrhB9LdTqaHXDKKVUcck5AwnzYf0ka4x8Vro1lDIsBqo3txYcrNbU6j0oU+GyJ0VeqLgXeEPVGLMP2Od6fEJE4oEwY8x81xc/95LewBRjTCawU0QSsQr9skv/Fs4XLhdS4yCwKtRoaf1ZIcp6Aas2ttaJUEqpkuLtCw16Wh/ZWbBnmbV0SdIKa2Pu7NN5nutn1axGvaH7q0Ue5aJGy4hIJNASWHGBp4UBy/N8nuw6du7XGgYMA6hZs+bFxPhTaH142I33XlVKeS4fP6jdxfoAyM2xehsOxMGJVEjfb/U2BBfPTdhCF3cRCQSmAyONMccv9NR8jv2t78cYMw4YB1a3TGFzKKWUW/LyhioNrI+S+OsK8yQR8cUq7BONMTMKeHoyEJHn83DAs7Y4UUophyuwuIvVqT4eiDfGjC7E15wF9BMRfxGJAqKBlZcXUyml1MUoTLdMR2AAsFFE1rmOPQv4A+8DocBsEVlnjOlujIkTkanAZiAbGHGhkTJKKaWKXmFGy/xG/v3oADPPc82rQNHf/lVKKVUounCYUkp5IC3uSinlgbS4K6WUB9LirpRSHsgRq0KKSBqw2+4c51EZOGh3iELSrMXDXbK6S07QrEWlljEm38XkHVHcnUxEYs+3MI/TaNbi4S5Z3SUnaNaSoN0ySinlgbS4K6WUB9LiXrBxdge4CJq1eLhLVnfJCZq12Gmfu1JKeSBtuSullAfS4q6UUh5Ii/t5iMjXIrLO9bHr7IqYIhIpIqfznPvI5qiIyEsikpInU88850aJSKKIbBWR7nbmdOV5U0S2iMgGEZkpIuVdx534uvZwvW6JIvIPu/PkJSIRIrJYROJFJE5EHnUdP+/Pgp1c/4c2ujKd3W+5oojMF5EE158VbM5YP8/rtk5EjovISKe+pgXRPvdCEJH/AseMMS+7thr8wRjTxOZYfxCRl4B0Y8xb5xy/6M3Ki5uIXAcsMsZki8i/AYwxzzjtdRURb2AbcC3WBjSrgP7GmM22BnO5wMb1t5PPz4LdRGQXEGOMOZjn2H+Aw8aYN1y/PCsYY56xK2Nern//FKAtcC8OfE0Loi33Arg2K7kdq0i6mz82KzfG7ATOblZuG2PMT8aYbNeny7F26nKiNkCiMWaHMSYLmIL1ejqCMWafMWaN6/EJIJ589ip2uN7A567Hn2P9cnKKa4DtxhinzpwvkBb3gnUGUo0xCXmORYnIWhH5WUQ62xXsHA+5ujom5Hl7GwYk5XlOvpuV22gwMCfP5056XZ3+2v0hn43r8/tZsJsBfhKR1SIyzHWsqjFmH1i/rIAqtqX7u378tUHnxNf0gkp1cReRBSKyKZ+PvC20/vz1H3kfUNMY0xJ4HJgkIsE2Zx0L1AFauPL99+xl+XypYu+HK8zrKiLPYe3UNdF1yJbX9QJsee0ulvx94/rz/SzYraMxphVwPTBCRK60O9D5iIgf0Av4xnXIqa/pBRVmmz2PZYzpdqHzIuID3Ay0znNNJpDperxaRLYD9YDYYoxaYNazROQT4AfXp7ZsVl6I13UQcCNwjXHd9LHrdb0Ax2/0LvlsXG+MSc1zPu/Pgq2MMXtdfx4QkZlY3V6pIlLdGLPPdQ/hgK0h/3Q9sObsa+nU17QgpbrlXgjdgC3GmOSzB0Qk1HWzBRGpjbUB+A6b8p3NVD3Pp32BTa7HjtusXER6AM8AvYwxp/Icd9rrugqIFpEoV0uuH9br6Qiue0F/27j+Aj8LthGRcq6bvohIOeA6rFyzgEGupw0CvrMn4d/85d26E1/TwijVLfdCOLffDeBK4GURyQZygAeMMYdLPNlf/UdEWmB1G+wC7gdw6GblH2Btrj7fqk8sN8Y8gMNeV9donoeAeYA3MMEYE2dXnnycb+P6/vn9LNisKjDT9e/tA0wyxswVkVXAVBEZAuwBbrMxIwAiUhZrhFTe1y3f/19Op0MhlVLKA2m3jFJKeSAt7kop5YG0uCullAfS4q6UUh5Ii7tSSnkgLe5KKeWBtLgrpZQH+n9dZ4QapZ5F/gAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(ebm.lat, ebm.Ts)\n", "plt.plot(ebm.lat, ebm.Tatm)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "co2ebm = climlab.process_like(ebm)\n", "co2ebm.subprocess['LW'].absorptivity = ebm.subprocess['LW'].absorptivity*1.1" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3.0 years.\n", "Total elapsed time is 3.997347513512951 years.\n" ] } ], "source": [ "co2ebm.integrate_years(3.)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# no heat transport but with evaporation -- no polar amplification\n", "plt.plot(ebm.lat, co2ebm.Ts - ebm.Ts)\n", "plt.plot(ebm.lat, co2ebm.Tatm - ebm.Tatm)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Now with meridional heat transport" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (90, 1) \n", " Tatm: (90, 1) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", " H2O: \n", " SHF: \n", " LHF: \n", " diffusion: \n", "\n" ] } ], "source": [ "diffebm = climlab.process_like(ebm)\n", "# thermal diffusivity in W/m**2/degC\n", "D = 0.6\n", "# meridional diffusivity in m**2/s\n", "K = D / diffebm.Tatm.domain.heat_capacity * const.a**2\n", "d = climlab.dynamics.MeridionalDiffusion(K=K, state={'Tatm': diffebm.Tatm}, **diffebm.param)\n", "diffebm.add_subprocess('diffusion', d)\n", "print(diffebm)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 3.997347513512951 years.\n" ] } ], "source": [ "diffebm.integrate_years(3)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(diffebm.lat, diffebm.Ts)\n", "plt.plot(diffebm.lat, diffebm.Tatm)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "def inferred_heat_transport( energy_in, lat_deg ):\n", " '''Returns the inferred heat transport (in PW) by integrating the net energy imbalance from pole to pole.'''\n", " from scipy import integrate\n", " from climlab import constants as const\n", " lat_rad = np.deg2rad( lat_deg )\n", " return ( 1E-15 * 2 * np.math.pi * const.a**2 * integrate.cumtrapz( np.cos(lat_rad)*energy_in,\n", " x=lat_rad, initial=0. ) )" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the northward heat transport in this model\n", "Rtoa = np.squeeze(diffebm.timeave['ASR'] - diffebm.timeave['OLR'])\n", "plt.plot(diffebm.lat, inferred_heat_transport(Rtoa, diffebm.lat))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "## Now warm it up!\n", "co2diffebm = climlab.process_like(diffebm)\n", "co2diffebm.subprocess['LW'].absorptivity = diffebm.subprocess['LW'].absorptivity*1.1" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1826 steps, 1826.2110000000002 days, or 5 years.\n", "Total elapsed time is 8.99676981465997 years.\n" ] } ], "source": [ "co2diffebm.integrate_years(5)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# with heat transport and evaporation \n", "# Get some modest polar amplifcation of surface warming\n", "# but larger equatorial amplification of atmospheric warming\n", "# Increased atmospheric gradient = increased poleward flux.\n", "plt.plot(diffebm.lat, co2diffebm.Ts - diffebm.Ts, label='Ts')\n", "plt.plot(diffebm.lat, co2diffebm.Tatm - diffebm.Tatm, label='Tatm')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Rtoa = np.squeeze(diffebm.timeave['ASR'] - diffebm.timeave['OLR'])\n", "Rtoa_co2 = np.squeeze(co2diffebm.timeave['ASR'] - co2diffebm.timeave['OLR'])\n", "plt.plot(diffebm.lat, inferred_heat_transport(Rtoa, diffebm.lat), label='1xCO2')\n", "plt.plot(diffebm.lat, inferred_heat_transport(Rtoa_co2, diffebm.lat), label='2xCO2')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Same thing but with NO EVAPORATION" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 6.995358148647664 years.\n", "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 11.994780449794684 years.\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "diffebm2 = climlab.process_like(diffebm)\n", "diffebm2.remove_subprocess('LHF')\n", "diffebm2.integrate_years(3)\n", "co2diffebm2 = climlab.process_like(co2diffebm)\n", "co2diffebm2.remove_subprocess('LHF')\n", "co2diffebm2.integrate_years(3)\n", "# With transport and no evaporation...\n", "# No polar amplification, either of surface or air temperature!\n", "plt.plot(diffebm2.lat, co2diffebm2.Ts - diffebm2.Ts, label='Ts')\n", "plt.plot(diffebm2.lat, co2diffebm2.Tatm[:,0] - diffebm2.Tatm[:,0], label='Tatm')\n", "plt.legend()\n", "plt.figure()\n", "# And in this case, the lack of polar amplification is DESPITE an increase in the poleward heat transport.\n", "Rtoa = np.squeeze(diffebm2.timeave['ASR'] - diffebm2.timeave['OLR'])\n", "Rtoa_co2 = np.squeeze(co2diffebm2.timeave['ASR'] - co2diffebm2.timeave['OLR'])\n", "plt.plot(diffebm2.lat, inferred_heat_transport(Rtoa, diffebm2.lat), label='1xCO2')\n", "plt.plot(diffebm2.lat, inferred_heat_transport(Rtoa_co2, diffebm2.lat), label='2xCO2')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## A column model approach" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (90, 1) \n", " Tatm: (90, 30) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", "\n" ] } ], "source": [ "model = climlab.GreyRadiationModel(num_lev=30, num_lat=90, abs_coeff=1.6E-4)\n", "insolation = climlab.radiation.AnnualMeanInsolation(domains=model.Ts.domain)\n", "model.add_subprocess('insolation', insolation)\n", "model.subprocess.SW.flux_from_space = model.subprocess.insolation.insolation\n", "print(model)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "# Convective adjustment for atmosphere only\n", "conv = climlab.convection.ConvectiveAdjustment(state={'Tatm':model.Tatm}, adj_lapse_rate=6.5,\n", " **model.param)\n", "model.add_subprocess('convective adjustment', conv)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# add a fixed relative humidity process\n", "# (will only affect surface evaporation)\n", "h2o = climlab.radiation.water_vapor.ManabeWaterVapor(state=model.state, **model.param)\n", "model.add_subprocess('H2O', h2o)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "# Add surface heat fluxes\n", "shf = climlab.surface.SensibleHeatFlux(state=model.state, Cd=1E-3)\n", "lhf = climlab.surface.LatentHeatFlux(state=model.state, Cd=1E-3)\n", "lhf.q = model.subprocess.H2O.q\n", "model.add_subprocess('SHF', shf)\n", "model.add_subprocess('LHF', lhf)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3.0 years.\n", "Total elapsed time is 2.998010635134713 years.\n" ] } ], "source": [ "model.integrate_years(3.)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def plot_temp_section(model, timeave=True):\n", " fig = plt.figure()\n", " ax = fig.add_subplot(111)\n", " if timeave:\n", " field = model.timeave['Tatm'].transpose()\n", " else:\n", " field = model.Tatm.transpose()\n", " cax = ax.contourf(model.lat, model.lev, field)\n", " ax.invert_yaxis()\n", " ax.set_xlim(-90,90)\n", " ax.set_xticks([-90, -60, -30, 0, 30, 60, 90])\n", " fig.colorbar(cax)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_temp_section(model, timeave=False)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "co2model = climlab.process_like(model)\n", "co2model.subprocess['LW'].absorptivity = model.subprocess['LW'].absorptivity*1.1" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 5.996021270269426 years.\n" ] } ], "source": [ "co2model.integrate_years(3)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_temp_section(co2model, timeave=False)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Without transport, get equatorial amplification\n", "plt.plot(model.lat, co2model.Ts - model.Ts, label='Ts')\n", "plt.plot(model.lat, co2model.Tatm[:,0] - model.Tatm[:,0], label='Tatm')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Now with meridional heat tranpsort!" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "diffmodel = climlab.process_like(model)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5946637.413346613\n" ] } ], "source": [ "# thermal diffusivity in W/m**2/degC\n", "D = 0.05\n", "# meridional diffusivity in m**2/s\n", "K = D / diffmodel.Tatm.domain.heat_capacity[0] * const.a**2\n", "print(K)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (90, 1) \n", " Tatm: (90, 30) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", " convective adjustment: \n", " H2O: \n", " SHF: \n", " LHF: \n", " diffusion: \n", "\n" ] } ], "source": [ "d = climlab.dynamics.MeridionalDiffusion(K=K, state={'Tatm':diffmodel.Tatm}, **diffmodel.param)\n", "diffmodel.add_subprocess('diffusion', d)\n", "print(diffmodel)" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 5.996021270269426 years.\n" ] } ], "source": [ "diffmodel.integrate_years(3)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_temp_section(diffmodel)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Plot the northward heat transport in this model\n", "Rtoa = np.squeeze(diffmodel.timeave['ASR'] - diffmodel.timeave['OLR'])\n", "plt.plot(diffmodel.lat, inferred_heat_transport(Rtoa, diffmodel.lat))" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "## Now warm it up!\n", "co2diffmodel = climlab.process_like(diffmodel)\n", "co2diffmodel.subprocess['LW'].absorptivity = diffmodel.subprocess['LW'].absorptivity*1.1" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 8.994031905404139 years.\n" ] } ], "source": [ "co2diffmodel.integrate_years(3)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# With transport, get polar amplification...\n", "# of surface temperature, but not of air temperature!\n", "plt.plot(diffmodel.lat, co2diffmodel.Ts - diffmodel.Ts, label='Ts')\n", "plt.plot(diffmodel.lat, co2diffmodel.Tatm[:,0] - diffmodel.Tatm[:,0], label='Tatm')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Rtoa = np.squeeze(diffmodel.timeave['ASR'] - diffmodel.timeave['OLR'])\n", "Rtoa_co2 = np.squeeze(co2diffmodel.timeave['ASR'] - co2diffmodel.timeave['OLR'])\n", "plt.plot(diffmodel.lat, inferred_heat_transport(Rtoa, diffmodel.lat), label='1xCO2')\n", "plt.plot(diffmodel.lat, inferred_heat_transport(Rtoa_co2, diffmodel.lat), label='2xCO2')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Same thing but with NO EVAPORATION\n" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (90, 1) \n", " Tatm: (90, 30) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", " convective adjustment: \n", " H2O: \n", " SHF: \n", " diffusion: \n", "\n" ] } ], "source": [ "diffmodel2 = climlab.process_like(diffmodel)\n", "diffmodel2.remove_subprocess('LHF')\n", "print(diffmodel2)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 8.994031905404139 years.\n" ] } ], "source": [ "diffmodel2.integrate_years(3)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3 years.\n", "Total elapsed time is 11.992042540538852 years.\n" ] } ], "source": [ "co2diffmodel2 = climlab.process_like(co2diffmodel)\n", "co2diffmodel2.remove_subprocess('LHF')\n", "co2diffmodel2.integrate_years(3)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# With transport and no evaporation...\n", "# No polar amplification, either of surface or air temperature!\n", "plt.plot(diffmodel2.lat, co2diffmodel2.Ts - diffmodel2.Ts, label='Ts')\n", "plt.plot(diffmodel2.lat, co2diffmodel2.Tatm[:,0] - diffmodel2.Tatm[:,0], label='Tatm')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Rtoa = np.squeeze(diffmodel2.timeave['ASR'] - diffmodel2.timeave['OLR'])\n", "Rtoa_co2 = np.squeeze(co2diffmodel2.timeave['ASR'] - co2diffmodel2.timeave['OLR'])\n", "plt.plot(diffmodel2.lat, inferred_heat_transport(Rtoa, diffmodel2.lat), label='1xCO2')\n", "plt.plot(diffmodel2.lat, inferred_heat_transport(Rtoa_co2, diffmodel2.lat), label='2xCO2')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## Warming effect of a DECREASE IN EVAPORATION EFFICIENCY\n", "\n", "Take a column model that includes evaporation and heat transport, and reduce the drag coefficient by a factor of 2.\n", "\n", "How does the surface temperature change?" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1826 steps, 1826.2110000000002 days, or 5.0 years.\n", "Total elapsed time is 10.995443571416446 years.\n" ] } ], "source": [ "diffmodel3 = climlab.process_like(diffmodel)\n", "diffmodel3.subprocess['LHF'].Cd *= 0.5\n", "diffmodel3.integrate_years(5.)" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Reduced evaporation gives equatorially enhanced warming of surface\n", "# and cooling of near-surface air temperature\n", "plt.plot(diffmodel.lat, diffmodel3.Ts - diffmodel.Ts, label='Ts')\n", "plt.plot(diffmodel.lat, diffmodel3.Tatm[:,0] - diffmodel.Tatm[:,0], label='Tatm')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Same calculation in a two-layer EBM" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1826 steps, 1826.2110000000002 days, or 5.0 years.\n", "Total elapsed time is 8.99676981465997 years.\n" ] } ], "source": [ "diffebm3 = climlab.process_like(diffebm)\n", "diffebm3.subprocess['LHF'].Cd *= 0.5\n", "diffebm3.integrate_years(5.)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Reduced evaporation gives equatorially enhanced warming of surface\n", "# and cooling of near-surface air temperature\n", "plt.plot(diffebm.lat, diffebm3.Ts - diffebm.Ts, label='Ts')\n", "plt.plot(diffebm.lat, diffebm3.Tatm[:,0] - diffebm.Tatm[:,0], label='Tatm')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pretty much the same result." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Some stuff with Band models" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "# Put in some ozone\n", "import xarray as xr\n", "\n", "ozonepath = \"http://thredds.atmos.albany.edu:8080/thredds/dodsC/CLIMLAB/ozone/apeozone_cam3_5_54.nc\"\n", "ozone = xr.open_dataset(ozonepath)\n", "\n", "# Dimensions of the ozone file\n", "lat = ozone.lat\n", "lon = ozone.lon\n", "lev = ozone.lev\n", "\n", "# Taking annual, zonal average of the ozone data\n", "O3_zon = ozone.OZONE.mean(dim=(\"time\",\"lon\"))" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (64, 1) \n", " Tatm: (64, 59) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", " convective adjustment: \n", " H2O: \n", "\n" ] } ], "source": [ "# make a model on the same grid as the ozone\n", "model1 = climlab.BandRCModel(lev=lev, lat=lat)\n", "insolation = climlab.radiation.AnnualMeanInsolation(domains=model1.Ts.domain)\n", "model1.add_subprocess('insolation', insolation)\n", "model1.subprocess.SW.flux_from_space = model1.subprocess.insolation.insolation\n", "print(model1)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [], "source": [ "# Set the ozone mixing ratio\n", "O3_trans = O3_zon.transpose()\n", "# Put in the ozone\n", "model1.absorber_vmr['O3'] = O3_trans" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'timestep': 86400.0,\n", " 'water_depth': 1.0,\n", " 'albedo_sfc': 0.299,\n", " 'Q': 341.3,\n", " 'abs_coeff': 0.0001229,\n", " 'adj_lapse_rate': 6.5}" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model1.param" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "# Convective adjustment for atmosphere only\n", "model1.remove_subprocess('convective adjustment')\n", "conv = climlab.convection.ConvectiveAdjustment(state={'Tatm':model1.Tatm}, **model1.param)\n", "model1.add_subprocess('convective adjustment', conv)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [], "source": [ "# Add surface heat fluxes\n", "shf = climlab.surface.SensibleHeatFlux(state=model1.state, Cd=0.5E-3)\n", "lhf = climlab.surface.LatentHeatFlux(state=model1.state, Cd=0.5E-3)\n", "# set the water vapor input field for LHF process\n", "lhf.q = model1.q\n", "model1.add_subprocess('SHF', shf)\n", "model1.add_subprocess('LHF', lhf)" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [], "source": [ "model1.step_forward()" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 365 steps, 365.2422 days, or 1.0 years.\n", "Total elapsed time is 1.0020747876340685 years.\n" ] } ], "source": [ "model1.integrate_years(1.)" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 365 steps, 365.2422 days, or 1.0 years.\n", "Total elapsed time is 2.0014116660123062 years.\n" ] } ], "source": [ "model1.integrate_years(1.)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_temp_section(model1, timeave=False)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "co2model1 = climlab.process_like(model1)\n", "co2model1.absorber_vmr['CO2'] *= 2" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3.0 years.\n", "Total elapsed time is 4.999422301147019 years.\n" ] } ], "source": [ "co2model1.integrate_years(3.)" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_temp_section(co2model1, timeave=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Model gets very very hot near equator. Very large equator-to-pole gradient." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Band model with heat transport and evaporation" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "climlab Process of type . \n", "State variables and domain shapes: \n", " Ts: (64, 1) \n", " Tatm: (64, 59) \n", "The subprocess tree: \n", "Untitled: \n", " LW: \n", " SW: \n", " insolation: \n", " H2O: \n", " convective adjustment: \n", " SHF: \n", " LHF: \n", " diffusion: \n", "\n" ] } ], "source": [ "diffmodel1 = climlab.process_like(model1)\n", "# thermal diffusivity in W/m**2/degC\n", "D = 0.01\n", "# meridional diffusivity in m**2/s\n", "K = D / diffmodel1.Tatm.domain.heat_capacity[0] * const.a**2\n", "d = climlab.dynamics.MeridionalDiffusion(K=K, state={'Tatm': diffmodel1.Tatm}, **diffmodel1.param)\n", "diffmodel1.add_subprocess('diffusion', d)\n", "diffmodel1.absorber_vmr['CO2'] *= 4.\n", "print(diffmodel1)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1095 steps, 1095.7266 days, or 3.0 years.\n", "Total elapsed time is 4.999422301147019 years.\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "diffmodel1.integrate_years(3.)\n", "plot_temp_section(diffmodel1, timeave=False)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Rtoa = np.squeeze(diffmodel1.timeave['ASR'] - diffmodel1.timeave['OLR'])\n", "plt.plot(diffmodel1.lat, inferred_heat_transport(Rtoa, diffmodel1.lat))" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.plot(diffmodel1.lat, diffmodel1.Ts-273.15)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integrating for 1826 steps, 1826.2110000000002 days, or 5 years.\n", "Total elapsed time is 9.998844602294039 years.\n" ] } ], "source": [ "# Now double CO2\n", "co2diffmodel1 = climlab.process_like(diffmodel1)\n", "co2diffmodel1.absorber_vmr['CO2'] *= 2.\n", "co2diffmodel1.integrate_years(5)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# No polar amplification in this model!\n", "plt.plot(diffmodel1.lat, co2diffmodel1.Ts - diffmodel1.Ts, label='Ts')\n", "plt.plot(diffmodel1.lat, co2diffmodel1.Tatm[:,0] - diffmodel1.Tatm[:,0], label='Tatm')\n", "plt.legend()\n", "plt.figure()\n", "Rtoa = np.squeeze(diffmodel1.timeave['ASR'] - diffmodel1.timeave['OLR'])\n", "Rtoa_co2 = np.squeeze(co2diffmodel1.timeave['ASR'] - co2diffmodel1.timeave['OLR'])\n", "plt.plot(diffmodel1.lat, inferred_heat_transport(Rtoa, diffmodel1.lat), label='1xCO2')\n", "plt.plot(diffmodel1.lat, inferred_heat_transport(Rtoa_co2, diffmodel1.lat), label='2xCO2')\n", "plt.legend()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 1 }